Version 1
: Received: 6 July 2020 / Approved: 8 July 2020 / Online: 8 July 2020 (12:30:52 CEST)
How to cite:
Wang, B.; Chen, Q.; Lin, S.; Zhang, H.; Lin, C.; Liu, Z.; Wu, Z.; Chen, J.; Liang, D.; Liu, Y.; Tan, Y.; Xing, C.; YangYang, D.; Gao, M.; Lin, R.; Lin, L. Epidemic Dynamics and Clinical Features of COVID-19 and Government Measures to Control Disease Transmission in Southern Hainan Island, China. Preprints2020, 2020070157
Wang, B.; Chen, Q.; Lin, S.; Zhang, H.; Lin, C.; Liu, Z.; Wu, Z.; Chen, J.; Liang, D.; Liu, Y.; Tan, Y.; Xing, C.; YangYang, D.; Gao, M.; Lin, R.; Lin, L. Epidemic Dynamics and Clinical Features of COVID-19 and Government Measures to Control Disease Transmission in Southern Hainan Island, China. Preprints 2020, 2020070157
Wang, B.; Chen, Q.; Lin, S.; Zhang, H.; Lin, C.; Liu, Z.; Wu, Z.; Chen, J.; Liang, D.; Liu, Y.; Tan, Y.; Xing, C.; YangYang, D.; Gao, M.; Lin, R.; Lin, L. Epidemic Dynamics and Clinical Features of COVID-19 and Government Measures to Control Disease Transmission in Southern Hainan Island, China. Preprints2020, 2020070157
APA Style
Wang, B., Chen, Q., Lin, S., Zhang, H., Lin, C., Liu, Z., Wu, Z., Chen, J., Liang, D., Liu, Y., Tan, Y., Xing, C., YangYang, D., Gao, M., Lin, R., & Lin, L. (2020). Epidemic Dynamics and Clinical Features of COVID-19 and Government Measures to Control Disease Transmission in Southern Hainan Island, China. Preprints. https://doi.org/
Chicago/Turabian Style
Wang, B., Ri-Xia Lin and Ling Lin. 2020 "Epidemic Dynamics and Clinical Features of COVID-19 and Government Measures to Control Disease Transmission in Southern Hainan Island, China" Preprints. https://doi.org/
Abstract
Objective: The objective of this study is to determine the epidemic dynamics and clinical features of COVID-19 in southern Hainan Island, China, and provide experience for other tropical areas of the world. Methods: This retrospective study included confirmed cases of COVID-19 in southern Hainan. All enrolled patients were treated in Sanya, and data on epidemiological and clinical features of the disease and infection prevention and control measures adopted by the local government during the epidemic were collected. Results: Of the 74 cases, 71 (95.95%) were imported from Wuhan, Hubei Province (47, 63.51%), other cities in Hubei Province (11, 14.86%), or provinces other than Hubei and Hainan (13, 17.57%). Three (4.06%) patients were infected in southern Hainan, including one autochthonous case in Sanya. Fifty-four cases (72.97%) were detected in Sanya, and 27 cases (27.03%) were diagnosed in other cities. The rate of severe or critical cases was 28.38% (21/74), and mortality was 2.7% (2/74). The serum lactate levels and base excess of severe-critical patients were higher than those of patients with mild-moderate disease. Multivariate logistic regression analysis showed that chronic conditions were risk factors for severe and critical COVID-19. Seventy-four patients were diagnosed with COVID-19 over a 22-day period in Sanya, and the epidemic period in the city was 48 days. The outbreak was controlled rapidly because the local government adopted strict infection prevention and control measures. Conclusions: The clinical characteristics of COVID-19 in Hainan Island were similar to those reported in other regions. In Sanya, the rate of severe and very severe cases was higher than in other regions; however, most cases were imported, and there was only one autochthonous case. The rapid control of the outbreak in Sanya may be related to the tropical climate, adoption of strict infection prevention and control measures, daily reporting of new cases, increased public awareness about the epidemic, and other emergency actions implemented by the local government.
Keywords
COVID-19; SARS-CoV-2; epidemic dynamics; disease control; clinical features; tropical area
Subject
Medicine and Pharmacology, Epidemiology and Infectious Diseases
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
